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Radiation Dose and Imaging
Research Guide

What is Radiation Dose and Imaging?

Radiation Dose and Imaging is the study of ionizing radiation exposure levels from diagnostic imaging procedures such as computed tomography (CT) and their associated health risks, including cancer induction, alongside methods for dose optimization and reconstruction techniques.

The field encompasses 107,733 published works on radiation exposure from imaging modalities like CT scans. Brenner and Hall (2007) documented a rapid increase in CT studies leading to markedly higher population radiation exposure compared to plain films. Key papers address reconstruction algorithms, radiological protection standards, and pediatric risk assessments.

107.7K
Papers
N/A
5yr Growth
816.9K
Total Citations

Research Sub-Topics

Why It Matters

Radiation dose in imaging directly influences cancer risk, particularly in children, where Pearce et al. (2012) found that CT scans in childhood increased the risk of leukaemia and brain tumours in a retrospective cohort study. Brenner et al. (2001) estimated that pediatric CT results in significantly increased lifetime radiation risk over adult CT due to higher dose per milliampere-second and greater lifetime risk per unit dose, recommending lower milliampere-second settings. Smith-Bindman (2009) showed radiation doses from common CT examinations are higher and more variable than quoted, with lifetime attributable cancer risks varying across institutions, emphasizing the need for standardization. These findings impact clinical protocols in radiology, reducing unnecessary exposures while maintaining diagnostic quality.

Reading Guide

Where to Start

'Computed Tomography — An Increasing Source of Radiation Exposure' by Brenner and Hall (2007) because it provides an accessible overview of the rapid rise in CT usage and its public health implications with 8557 citations.

Key Papers Explained

Brenner and Hall (2007) in 'Computed Tomography — An Increasing Source of Radiation Exposure' establishes the problem of rising CT doses, which Brenner et al. (2001) in 'Estimated Risks of Radiation-Induced Fatal Cancer from Pediatric CT' quantifies for children, recommending dose reductions; Valentin (2007) in 'The 2007 recommendations of the International Commission on Radiological Protection' provides protective guidelines building on these risks; Shepp and Vardi (1982) in 'Maximum Likelihood Reconstruction for Emission Tomography' offers foundational reconstruction methods to enable lower-dose imaging; Pearce et al. (2012) in 'Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study' validates the risks empirically.

Paper Timeline

100%
graph LR P0["Maximum Likelihood Reconstructio...
1982 · 4.3K cites"] P1["Estimated Risks of Radiation-Ind...
2001 · 3.2K cites"] P2["Computed Tomography — An Increas...
2007 · 8.6K cites"] P3["The 2007 recommendations of the ...
2007 · 4.1K cites"] P4["Systematic reviews: CRD's guidan...
2010 · 3.3K cites"] P5["Radiation exposure from CT scans...
2012 · 3.6K cites"] P6["Sources and effects of ionizing ...
2018 · 4.0K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P2 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Recent preprints focus on generative AI for low-dose digital subtraction angiography in a randomized controlled trial and systematic reviews of dose reduction in pediatric head CT using iterative reconstruction. Photon-counting CT systems like GE HealthCare's Photonova Spectra are advancing toward FDA clearance for dose-efficient imaging.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 Computed Tomography — An Increasing Source of Radiation Exposure 2007 New England Journal of... 8.6K
2 Maximum Likelihood Reconstruction for Emission Tomography 1982 IEEE Transactions on M... 4.3K
3 The 2007 recommendations of the International Commission on Ra... 2007 Elsevier eBooks 4.1K
4 Sources and effects of ionizing radiation 2018 Report of the United N... 4.0K
5 Radiation exposure from CT scans in childhood and subsequent r... 2012 The Lancet 3.6K
6 Systematic reviews: CRD's guidance for undertaking reviews in ... 2010 The Lancet Infectious ... 3.3K
7 Estimated Risks of Radiation-Induced Fatal Cancer from Pediatr... 2001 American Journal of Ro... 3.2K
8 Coronary Calcium as a Predictor of Coronary Events in Four Rac... 2008 New England Journal of... 2.9K
9 International evidence-based recommendations for point-of-care... 2012 Intensive Care Medicine 2.8K
10 Radiation Dose Associated With Common Computed Tomography Exam... 2009 Archives of Internal M... 2.4K

In the News

Code & Tools

GitHub - pymedphys/pymedphys: A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.
github.com

PyMedPhys is an open-source Medical Physics python library built by an open community that values and prioritises code sharing, review, improvement...

GitHub - SlicerRt/SlicerRT: Open-source toolkit for radiation therapy research, an extension of 3D Slicer. Features include DICOM-RT import/export, dose volume histogram, dose accumulation, external beam planning (TPS), structure comparison and morphology, isodose line/surface generation, etc.
github.com

Open-source toolkit for radiation therapy research, an extension of 3D Slicer. Features include DICOM-RT import/export, dose volume histogram, dose...

GitHub - AIM-Harvard/pyradiomics: Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
github.com

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c...

jrkerns/pylinac: An image analysis library for medical physics
github.com

Pylinac provides TG-142 quality assurance (QA) tools to Python programmers in the field of therapy and diagnostic medical physics.

dicompyler/dicompyler-core: A library of core radiation ...
github.com

A library of core radiation therapy modules for DICOM / DICOM RT used by dicompyler . This package includes: * `dicomparser`: parse DICOM objects i...

Recent Preprints

Latest Developments

Frequently Asked Questions

What is the main source of increasing radiation exposure in the population?

Computed tomographic (CT) studies are increasing rapidly and involve much higher doses than plain films, leading to marked increases in general population radiation exposure. Brenner and Hall (2007) highlighted this trend in 'Computed Tomography — An Increasing Source of Radiation Exposure'.

How does radiation dose from pediatric CT affect cancer risk?

Pediatric CT results in significantly increased lifetime radiation risk over adult CT because of higher dose per milliampere-second and increased lifetime risk per unit dose. Brenner et al. (2001) in 'Estimated Risks of Radiation-Induced Fatal Cancer from Pediatric CT' recommend lower milliampere-second settings for children. Pearce et al. (2012) confirmed subsequent risks of leukaemia and brain tumours in 'Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study'.

What are the key recommendations for radiological protection?

The 2007 recommendations of the International Commission on Radiological Protection by Valentin (2007) cover biological aspects, quantities used in protection, the system for protecting humans, and implementation including medical exposure of patients. These guidelines address optimization of doses in diagnostic imaging.

What reconstruction method improves emission tomography?

Maximum likelihood reconstruction distinguishes the physics of emission tomography from transmission tomography by modeling unknown emission density from count data. Shepp and Vardi (1982) introduced this in 'Maximum Likelihood Reconstruction for Emission Tomography', enabling more accurate image reconstruction at potentially lower doses.

Why is dose standardization needed in CT?

Radiation doses from common CT examinations are higher and more variable than generally quoted. Smith-Bindman (2009) in 'Radiation Dose Associated With Common Computed Tomography Examinations and the Associated Lifetime Attributable Risk of Cancer' highlights the need for greater standardization across institutions to minimize cancer risks.

Open Research Questions

  • ? How can iterative reconstruction and protocol modifications further reduce radiation doses in pediatric head CT without compromising diagnostic accuracy?
  • ? What are the long-term cancer risks from cumulative low-dose exposures in frequent CT users across diverse populations?
  • ? How do photon-counting detectors quantitatively lower dose in CT compared to traditional systems?
  • ? What patient-specific factors, beyond age, most influence lifetime attributable cancer risk from diagnostic imaging?
  • ? Can generative AI reliably enable real-time low-dose imaging in intra-operative procedures like digital subtraction angiography?

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